SlideShare a Scribd company logo
1 of 8
Download to read offline
TARUN GEHLOT (B.E, CIVIL HONORS)
Fourier Series: Basic Results
Recall that the mathematical expression
is called a Fourier series.
Since this expression deals with convergence, we start by defining a similar expression
when the sum is finite.
Definition. A Fourier polynomial is an expression of the form
which may rewritten as
The constants a0, ai and bi, , are called the coefficients of Fn(x).
The Fourier polynomials are -periodic functions. Using the trigonometric identities
we can easily prove the integral formulas
(1)
for , we have
TARUN GEHLOT (B.E, CIVIL HONORS)
for n>0 we have
(2)
for m and n, we have
(3)
for , we have
(4)
for , we have
Using the above formulas, we can easily deduce the following result:
Theorem. Let
We have
TARUN GEHLOT (B.E, CIVIL HONORS)
This theorem helps associate a Fourier series to any -periodic function.
Definition. Let f(x) be a -periodic function which is integrableon . Set
The trigonometric series
is called the Fourier series associated to the function f(x). We will use the notation
Example. Find the Fourier series of the function
Answer. Since f(x) is odd, then an = 0, for . We turn our attention to the
coefficients bn. For any , we have
We deduce
TARUN GEHLOT (B.E, CIVIL HONORS)
Hence
Example. Find the Fourier series of the
Answer. We have
and
We obtain b2n = 0 and
TARUN GEHLOT (B.E, CIVIL HONORS)
Find the Fourier series of the function
TARUN GEHLOT (B.E, CIVIL HONORS)
Therefore, the Fourier series of
Example. Find the Fourier series of the function function
Answer. Since this function is the function of the example above minus the
So Therefore, the Fourier series of
TARUN GEHLOT (B.E, CIVIL HONORS)
Therefore, the Fourier series of f(x) is
Find the Fourier series of the function function
Since this function is the function of the example above minus the constant
So Therefore, the Fourier series of f(x) is
constant .
TARUN GEHLOT (B.E, CIVIL HONORS)
Remark. We defined the Fourier series for functions which are
wonder how to define a similar notion for functions which are
Assume that f(x) is defined and
The function F(x) is defined and integrableon
of F(x)
Using the substitution
Definition. Let f(x) be a function defined and integrable
of f(x) is
where
TARUN GEHLOT (B.E, CIVIL HONORS)
We defined the Fourier series for functions which are -periodic, one would
wonder how to define a similar notion for functions which are L-periodic.
) is defined and integrable on the interval [-L,L]. Set
) is defined and integrableon . Consider the Fourier series
, we obtain the following definition:
) be a function defined and integrable on [-L,L]. The Fourier series
periodic, one would
. Consider the Fourier series
]. The Fourier series
TARUN GEHLOT (B.E, CIVIL HONORS)
for .
Example. Find the Fourier series of
Answer. Since L = 2, we obtain
for . Therefore, we have
TARUN GEHLOT (B.E, CIVIL HONORS)TARUN GEHLOT (B.E, CIVIL HONORS)

More Related Content

What's hot

Fourier series and fourier integral
Fourier series and fourier integralFourier series and fourier integral
Fourier series and fourier integralashuuhsaqwe
 
Fourier series of odd functions with period 2 l
Fourier series of odd functions with period 2 lFourier series of odd functions with period 2 l
Fourier series of odd functions with period 2 lPepa Vidosa Serradilla
 
History and Real Life Applications of Fourier Analaysis
History and Real Life Applications of Fourier AnalaysisHistory and Real Life Applications of Fourier Analaysis
History and Real Life Applications of Fourier AnalaysisSyed Ahmed Zaki
 
Fourier Series - Engineering Mathematics
Fourier Series -  Engineering MathematicsFourier Series -  Engineering Mathematics
Fourier Series - Engineering MathematicsMd Sadequl Islam
 
Half range sine and cosine series
Half range sine and cosine seriesHalf range sine and cosine series
Half range sine and cosine seriesChandan S
 
Fourier series Introduction
Fourier series IntroductionFourier series Introduction
Fourier series IntroductionRizwan Kazi
 
Practising Fourier Analysis with Digital Images
Practising Fourier Analysis with Digital ImagesPractising Fourier Analysis with Digital Images
Practising Fourier Analysis with Digital ImagesFrédéric Morain-Nicolier
 
Topic: Fourier Series ( Periodic Function to change of interval)
Topic: Fourier Series ( Periodic Function to  change of interval)Topic: Fourier Series ( Periodic Function to  change of interval)
Topic: Fourier Series ( Periodic Function to change of interval)Abhishek Choksi
 
aem : Fourier series of Even and Odd Function
aem :  Fourier series of Even and Odd Functionaem :  Fourier series of Even and Odd Function
aem : Fourier series of Even and Odd FunctionSukhvinder Singh
 
periodic functions and Fourier series
periodic functions and Fourier seriesperiodic functions and Fourier series
periodic functions and Fourier seriesUmang Gupta
 
Introduction to Fourier transform and signal analysis
Introduction to Fourier transform and signal analysisIntroduction to Fourier transform and signal analysis
Introduction to Fourier transform and signal analysis宗翰 謝
 
Optics Fourier Transform Ii
Optics Fourier Transform IiOptics Fourier Transform Ii
Optics Fourier Transform Iidiarmseven
 
Half range sine cosine fourier series
Half range sine cosine fourier seriesHalf range sine cosine fourier series
Half range sine cosine fourier seriesHardik Parmar
 

What's hot (20)

Fourier series and fourier integral
Fourier series and fourier integralFourier series and fourier integral
Fourier series and fourier integral
 
Fourier series of odd functions with period 2 l
Fourier series of odd functions with period 2 lFourier series of odd functions with period 2 l
Fourier series of odd functions with period 2 l
 
History and Real Life Applications of Fourier Analaysis
History and Real Life Applications of Fourier AnalaysisHistory and Real Life Applications of Fourier Analaysis
History and Real Life Applications of Fourier Analaysis
 
Fourier Series - Engineering Mathematics
Fourier Series -  Engineering MathematicsFourier Series -  Engineering Mathematics
Fourier Series - Engineering Mathematics
 
Half range sine and cosine series
Half range sine and cosine seriesHalf range sine and cosine series
Half range sine and cosine series
 
Fourier series Introduction
Fourier series IntroductionFourier series Introduction
Fourier series Introduction
 
Fourier series
Fourier seriesFourier series
Fourier series
 
Fourier series
Fourier seriesFourier series
Fourier series
 
Practising Fourier Analysis with Digital Images
Practising Fourier Analysis with Digital ImagesPractising Fourier Analysis with Digital Images
Practising Fourier Analysis with Digital Images
 
Fourier series
Fourier series Fourier series
Fourier series
 
Fourier series
Fourier seriesFourier series
Fourier series
 
Topic: Fourier Series ( Periodic Function to change of interval)
Topic: Fourier Series ( Periodic Function to  change of interval)Topic: Fourier Series ( Periodic Function to  change of interval)
Topic: Fourier Series ( Periodic Function to change of interval)
 
aem : Fourier series of Even and Odd Function
aem :  Fourier series of Even and Odd Functionaem :  Fourier series of Even and Odd Function
aem : Fourier series of Even and Odd Function
 
periodic functions and Fourier series
periodic functions and Fourier seriesperiodic functions and Fourier series
periodic functions and Fourier series
 
Introduction to Fourier transform and signal analysis
Introduction to Fourier transform and signal analysisIntroduction to Fourier transform and signal analysis
Introduction to Fourier transform and signal analysis
 
Optics Fourier Transform Ii
Optics Fourier Transform IiOptics Fourier Transform Ii
Optics Fourier Transform Ii
 
Half range sine cosine fourier series
Half range sine cosine fourier seriesHalf range sine cosine fourier series
Half range sine cosine fourier series
 
Fourier series
Fourier seriesFourier series
Fourier series
 
160280102001 c1 aem
160280102001 c1 aem160280102001 c1 aem
160280102001 c1 aem
 
Fourier series
Fourier seriesFourier series
Fourier series
 

Viewers also liked (6)

fourier series
fourier seriesfourier series
fourier series
 
Fourier series
Fourier seriesFourier series
Fourier series
 
Fourier series expansion
Fourier series expansionFourier series expansion
Fourier series expansion
 
Fourier series example
Fourier series exampleFourier series example
Fourier series example
 
Introduction to fourier analysis
Introduction to fourier analysisIntroduction to fourier analysis
Introduction to fourier analysis
 
Solved numerical problems of fourier series
Solved numerical problems of fourier seriesSolved numerical problems of fourier series
Solved numerical problems of fourier series
 

Similar to Fourier series basic results

Fourier sine and cosine series
Fourier sine and cosine seriesFourier sine and cosine series
Fourier sine and cosine seriesTarun Gehlot
 
Operations on fourier series
Operations on fourier seriesOperations on fourier series
Operations on fourier seriesTarun Gehlot
 
Mba Ebooks ! Edhole
Mba Ebooks ! EdholeMba Ebooks ! Edhole
Mba Ebooks ! EdholeEdhole.com
 
Optics Fourier Transform I
Optics Fourier Transform IOptics Fourier Transform I
Optics Fourier Transform Idiarmseven
 
APPLICATION OF PARTIAL DIFFERENTIATION
APPLICATION OF PARTIAL DIFFERENTIATIONAPPLICATION OF PARTIAL DIFFERENTIATION
APPLICATION OF PARTIAL DIFFERENTIATIONDhrupal Patel
 
Applications of partial differentiation
Applications of partial differentiationApplications of partial differentiation
Applications of partial differentiationVaibhav Tandel
 
Fourier_Series.pptx
Fourier_Series.pptxFourier_Series.pptx
Fourier_Series.pptxAliNadeem48
 
Chapter 5 Image Processing: Fourier Transformation
Chapter 5 Image Processing: Fourier TransformationChapter 5 Image Processing: Fourier Transformation
Chapter 5 Image Processing: Fourier TransformationVarun Ojha
 
Methods of calculate roots of equations
Methods  of calculate  roots  of  equationsMethods  of calculate  roots  of  equations
Methods of calculate roots of equationsNORAIMA
 
New Method for Finding an Optimal Solution of Generalized Fuzzy Transportatio...
New Method for Finding an Optimal Solution of Generalized Fuzzy Transportatio...New Method for Finding an Optimal Solution of Generalized Fuzzy Transportatio...
New Method for Finding an Optimal Solution of Generalized Fuzzy Transportatio...BRNSS Publication Hub
 
Domain-and-Range-of-a-Function
Domain-and-Range-of-a-FunctionDomain-and-Range-of-a-Function
Domain-and-Range-of-a-FunctionEmeraldAcaba
 
Adv math[unit 3]
Adv math[unit 3]Adv math[unit 3]
Adv math[unit 3]Nald Torres
 
Fundamental Theorem of Calculus
Fundamental Theorem of CalculusFundamental Theorem of Calculus
Fundamental Theorem of Calculusgizemk
 
Lecture 2&3 Computer vision image formation ,filters&edge detection
Lecture 2&3 Computer vision image formation ,filters&edge detectionLecture 2&3 Computer vision image formation ,filters&edge detection
Lecture 2&3 Computer vision image formation ,filters&edge detectioncairo university
 
Linear approximations
Linear approximationsLinear approximations
Linear approximationsTarun Gehlot
 

Similar to Fourier series basic results (20)

Fourier sine and cosine series
Fourier sine and cosine seriesFourier sine and cosine series
Fourier sine and cosine series
 
Operations on fourier series
Operations on fourier seriesOperations on fourier series
Operations on fourier series
 
Mba Ebooks ! Edhole
Mba Ebooks ! EdholeMba Ebooks ! Edhole
Mba Ebooks ! Edhole
 
PS.pptx
PS.pptxPS.pptx
PS.pptx
 
Optics Fourier Transform I
Optics Fourier Transform IOptics Fourier Transform I
Optics Fourier Transform I
 
Fourier series (MT-221)
Fourier series (MT-221)Fourier series (MT-221)
Fourier series (MT-221)
 
APPLICATION OF PARTIAL DIFFERENTIATION
APPLICATION OF PARTIAL DIFFERENTIATIONAPPLICATION OF PARTIAL DIFFERENTIATION
APPLICATION OF PARTIAL DIFFERENTIATION
 
Applications of partial differentiation
Applications of partial differentiationApplications of partial differentiation
Applications of partial differentiation
 
Fourier_Series.pptx
Fourier_Series.pptxFourier_Series.pptx
Fourier_Series.pptx
 
Chapter 5 Image Processing: Fourier Transformation
Chapter 5 Image Processing: Fourier TransformationChapter 5 Image Processing: Fourier Transformation
Chapter 5 Image Processing: Fourier Transformation
 
Unit-8.pdf
Unit-8.pdfUnit-8.pdf
Unit-8.pdf
 
Methods of calculate roots of equations
Methods  of calculate  roots  of  equationsMethods  of calculate  roots  of  equations
Methods of calculate roots of equations
 
New Method for Finding an Optimal Solution of Generalized Fuzzy Transportatio...
New Method for Finding an Optimal Solution of Generalized Fuzzy Transportatio...New Method for Finding an Optimal Solution of Generalized Fuzzy Transportatio...
New Method for Finding an Optimal Solution of Generalized Fuzzy Transportatio...
 
Domain-and-Range-of-a-Function
Domain-and-Range-of-a-FunctionDomain-and-Range-of-a-Function
Domain-and-Range-of-a-Function
 
Adv math[unit 3]
Adv math[unit 3]Adv math[unit 3]
Adv math[unit 3]
 
Fundamental Theorem of Calculus
Fundamental Theorem of CalculusFundamental Theorem of Calculus
Fundamental Theorem of Calculus
 
04_AJMS_254_19.pdf
04_AJMS_254_19.pdf04_AJMS_254_19.pdf
04_AJMS_254_19.pdf
 
Lecture 2&3 Computer vision image formation ,filters&edge detection
Lecture 2&3 Computer vision image formation ,filters&edge detectionLecture 2&3 Computer vision image formation ,filters&edge detection
Lecture 2&3 Computer vision image formation ,filters&edge detection
 
Linear approximations
Linear approximationsLinear approximations
Linear approximations
 
Fourier Series
Fourier SeriesFourier Series
Fourier Series
 

More from Tarun Gehlot

Materials 11-01228
Materials 11-01228Materials 11-01228
Materials 11-01228Tarun Gehlot
 
Continuity and end_behavior
Continuity and  end_behaviorContinuity and  end_behavior
Continuity and end_behaviorTarun Gehlot
 
Continuity of functions by graph (exercises with detailed solutions)
Continuity of functions by graph   (exercises with detailed solutions)Continuity of functions by graph   (exercises with detailed solutions)
Continuity of functions by graph (exercises with detailed solutions)Tarun Gehlot
 
Factoring by the trial and-error method
Factoring by the trial and-error methodFactoring by the trial and-error method
Factoring by the trial and-error methodTarun Gehlot
 
Introduction to finite element analysis
Introduction to finite element analysisIntroduction to finite element analysis
Introduction to finite element analysisTarun Gehlot
 
Finite elements : basis functions
Finite elements : basis functionsFinite elements : basis functions
Finite elements : basis functionsTarun Gehlot
 
Finite elements for 2‐d problems
Finite elements  for 2‐d problemsFinite elements  for 2‐d problems
Finite elements for 2‐d problemsTarun Gehlot
 
Error analysis statistics
Error analysis   statisticsError analysis   statistics
Error analysis statisticsTarun Gehlot
 
Introduction to matlab
Introduction to matlabIntroduction to matlab
Introduction to matlabTarun Gehlot
 
Linear approximations and_differentials
Linear approximations and_differentialsLinear approximations and_differentials
Linear approximations and_differentialsTarun Gehlot
 
Local linear approximation
Local linear approximationLocal linear approximation
Local linear approximationTarun Gehlot
 
Interpolation functions
Interpolation functionsInterpolation functions
Interpolation functionsTarun Gehlot
 
Propeties of-triangles
Propeties of-trianglesPropeties of-triangles
Propeties of-trianglesTarun Gehlot
 
Gaussian quadratures
Gaussian quadraturesGaussian quadratures
Gaussian quadraturesTarun Gehlot
 
Basics of set theory
Basics of set theoryBasics of set theory
Basics of set theoryTarun Gehlot
 
Numerical integration
Numerical integrationNumerical integration
Numerical integrationTarun Gehlot
 
Applications of set theory
Applications of  set theoryApplications of  set theory
Applications of set theoryTarun Gehlot
 
Miscellneous functions
Miscellneous  functionsMiscellneous  functions
Miscellneous functionsTarun Gehlot
 

More from Tarun Gehlot (20)

Materials 11-01228
Materials 11-01228Materials 11-01228
Materials 11-01228
 
Binary relations
Binary relationsBinary relations
Binary relations
 
Continuity and end_behavior
Continuity and  end_behaviorContinuity and  end_behavior
Continuity and end_behavior
 
Continuity of functions by graph (exercises with detailed solutions)
Continuity of functions by graph   (exercises with detailed solutions)Continuity of functions by graph   (exercises with detailed solutions)
Continuity of functions by graph (exercises with detailed solutions)
 
Factoring by the trial and-error method
Factoring by the trial and-error methodFactoring by the trial and-error method
Factoring by the trial and-error method
 
Introduction to finite element analysis
Introduction to finite element analysisIntroduction to finite element analysis
Introduction to finite element analysis
 
Finite elements : basis functions
Finite elements : basis functionsFinite elements : basis functions
Finite elements : basis functions
 
Finite elements for 2‐d problems
Finite elements  for 2‐d problemsFinite elements  for 2‐d problems
Finite elements for 2‐d problems
 
Error analysis statistics
Error analysis   statisticsError analysis   statistics
Error analysis statistics
 
Matlab commands
Matlab commandsMatlab commands
Matlab commands
 
Introduction to matlab
Introduction to matlabIntroduction to matlab
Introduction to matlab
 
Linear approximations and_differentials
Linear approximations and_differentialsLinear approximations and_differentials
Linear approximations and_differentials
 
Local linear approximation
Local linear approximationLocal linear approximation
Local linear approximation
 
Interpolation functions
Interpolation functionsInterpolation functions
Interpolation functions
 
Propeties of-triangles
Propeties of-trianglesPropeties of-triangles
Propeties of-triangles
 
Gaussian quadratures
Gaussian quadraturesGaussian quadratures
Gaussian quadratures
 
Basics of set theory
Basics of set theoryBasics of set theory
Basics of set theory
 
Numerical integration
Numerical integrationNumerical integration
Numerical integration
 
Applications of set theory
Applications of  set theoryApplications of  set theory
Applications of set theory
 
Miscellneous functions
Miscellneous  functionsMiscellneous  functions
Miscellneous functions
 

Recently uploaded

Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
PSYCHIATRIC History collection FORMAT.pptx
PSYCHIATRIC   History collection FORMAT.pptxPSYCHIATRIC   History collection FORMAT.pptx
PSYCHIATRIC History collection FORMAT.pptxPoojaSen20
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Celine George
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppCeline George
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991RKavithamani
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfUmakantAnnand
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 

Recently uploaded (20)

Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
PSYCHIATRIC History collection FORMAT.pptx
PSYCHIATRIC   History collection FORMAT.pptxPSYCHIATRIC   History collection FORMAT.pptx
PSYCHIATRIC History collection FORMAT.pptx
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website App
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.Compdf
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 

Fourier series basic results

  • 1. TARUN GEHLOT (B.E, CIVIL HONORS) Fourier Series: Basic Results Recall that the mathematical expression is called a Fourier series. Since this expression deals with convergence, we start by defining a similar expression when the sum is finite. Definition. A Fourier polynomial is an expression of the form which may rewritten as The constants a0, ai and bi, , are called the coefficients of Fn(x). The Fourier polynomials are -periodic functions. Using the trigonometric identities we can easily prove the integral formulas (1) for , we have
  • 2. TARUN GEHLOT (B.E, CIVIL HONORS) for n>0 we have (2) for m and n, we have (3) for , we have (4) for , we have Using the above formulas, we can easily deduce the following result: Theorem. Let We have
  • 3. TARUN GEHLOT (B.E, CIVIL HONORS) This theorem helps associate a Fourier series to any -periodic function. Definition. Let f(x) be a -periodic function which is integrableon . Set The trigonometric series is called the Fourier series associated to the function f(x). We will use the notation Example. Find the Fourier series of the function Answer. Since f(x) is odd, then an = 0, for . We turn our attention to the coefficients bn. For any , we have We deduce
  • 4. TARUN GEHLOT (B.E, CIVIL HONORS) Hence Example. Find the Fourier series of the Answer. We have and We obtain b2n = 0 and TARUN GEHLOT (B.E, CIVIL HONORS) Find the Fourier series of the function
  • 5. TARUN GEHLOT (B.E, CIVIL HONORS) Therefore, the Fourier series of Example. Find the Fourier series of the function function Answer. Since this function is the function of the example above minus the So Therefore, the Fourier series of TARUN GEHLOT (B.E, CIVIL HONORS) Therefore, the Fourier series of f(x) is Find the Fourier series of the function function Since this function is the function of the example above minus the constant So Therefore, the Fourier series of f(x) is constant .
  • 6. TARUN GEHLOT (B.E, CIVIL HONORS) Remark. We defined the Fourier series for functions which are wonder how to define a similar notion for functions which are Assume that f(x) is defined and The function F(x) is defined and integrableon of F(x) Using the substitution Definition. Let f(x) be a function defined and integrable of f(x) is where TARUN GEHLOT (B.E, CIVIL HONORS) We defined the Fourier series for functions which are -periodic, one would wonder how to define a similar notion for functions which are L-periodic. ) is defined and integrable on the interval [-L,L]. Set ) is defined and integrableon . Consider the Fourier series , we obtain the following definition: ) be a function defined and integrable on [-L,L]. The Fourier series periodic, one would . Consider the Fourier series ]. The Fourier series
  • 7. TARUN GEHLOT (B.E, CIVIL HONORS) for . Example. Find the Fourier series of Answer. Since L = 2, we obtain for . Therefore, we have
  • 8. TARUN GEHLOT (B.E, CIVIL HONORS)TARUN GEHLOT (B.E, CIVIL HONORS)